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Revisiting subject classification in academic databases: A comparison of the classification accuracy of Web of Science, Scopus & Dimensions
Singh, Prashasti, Piryani, Rajesh, Singh, Vivek Kumar, Pinto, David
Published in Journal of intelligent & fuzzy systems (01.01.2020)
Published in Journal of intelligent & fuzzy systems (01.01.2020)
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Classification accuracy of the event‐related potentials‐based Brain Fingerprinting and its robustness to direct‐suppression and thought‐substitution countermeasures
Afzali, M. Usman, Jones, Richard D., Seren‐Grace, Alex P., Palmer, Robin W., Makarious, Dena, Rodrigues, Mariana N. B., Neumann, Ewald
Published in Applied cognitive psychology (01.05.2023)
Published in Applied cognitive psychology (01.05.2023)
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Using Brain Network Features to Increase the Classification Accuracy of MI-BCI Inefficiency Subject
Zhang, Rui, Li, Xianpeng, Wang, Yinwang, Liu, Bo, Shi, Li, Chen, Mingming, Zhang, Lipeng, Hu, Yuxia
Published in IEEE access (2019)
Published in IEEE access (2019)
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Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity
Pisarchik, Alexander N., Efremova, Tatyana Yu, Runnova, Anastasia E., Musatov, Vyacheslav Yu, Pitsik, Elena N., Kurkin, Semen A., Maksimenko, Vladimir A., Hramov, Alexander E.
Published in Complexity (New York, N.Y.) (01.01.2018)
Published in Complexity (New York, N.Y.) (01.01.2018)
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Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
Chu, Carlton, Hsu, Ai-Ling, Chou, Kun-Hsien, Bandettini, Peter, Lin, ChingPo
Published in NeuroImage (Orlando, Fla.) (01.03.2012)
Published in NeuroImage (Orlando, Fla.) (01.03.2012)
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks
Ligabue, Giulia, Pollastri, Federico, Fontana, Francesco, Leonelli, Marco, Furci, Luciana, Giovanella, Silvia, Alfano, Gaetano, Cappelli, Gianni, Testa, Francesca, Bolelli, Federico, Grana, Costantino, Magistroni, Riccardo
Published in Clinical journal of the American Society of Nephrology (07.10.2020)
Published in Clinical journal of the American Society of Nephrology (07.10.2020)
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Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Nazeer, Hammad, Naseer, Noman, Khan, Rayyan Azam, Noori, Farzan Majeed, Qureshi, Nauman Khalid, Khan, Umar Shahbaz, Khan, M Jawad
Published in Journal of neural engineering (01.10.2020)
Published in Journal of neural engineering (01.10.2020)
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Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application
Akhter, Jamila, Naseer, Noman, Nazeer, Hammad, Khan, Haroon, Mirtaheri, Peyman
Published in Sensors (Basel, Switzerland) (01.05.2024)
Published in Sensors (Basel, Switzerland) (01.05.2024)
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A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-Based BCI
Gao, Zhongke, Yuan, Tao, Zhou, Xinjun, Ma, Chao, Ma, Kai, Hui, Pan
Published in IEEE transactions on circuits and systems. II, Express briefs (01.12.2020)
Published in IEEE transactions on circuits and systems. II, Express briefs (01.12.2020)
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Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy
Aldieri, Alessandra, Terzini, Mara, Audenino, Alberto L., Bignardi, Cristina, Paggiosi, Margaret, Eastell, Richard, Viceconti, Marco, Bhattacharya, Pinaki
Published in Annals of biomedical engineering (01.03.2022)
Published in Annals of biomedical engineering (01.03.2022)
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Movement Trajectory Segmentation Improves the Butterfly Test's Classification Accuracy for Impaired Sensorimotor Control in Patients With Neck Pain
Olafsdottir, Jona, Sigurdarson, Sebastian, Wong, Marlon
Published in Archives of physical medicine and rehabilitation (01.04.2025)
Published in Archives of physical medicine and rehabilitation (01.04.2025)
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Stimulus-specific random effects inflate false-positive classification accuracy in multivariate-voxel-pattern-analysis: A solution with generalized mixed-effects modelling
Kajimura, Shogo, Hoshino, Takahiro, Murayama, Kou
Published in NeuroImage (Orlando, Fla.) (01.04.2023)
Published in NeuroImage (Orlando, Fla.) (01.04.2023)
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Impact of Wearable Measurement Properties and Data Quality on ADLs Classification Accuracy
Poli, Angelica, Cosoli, Gloria, Scalise, Lorenzo, Spinsante, Susanna
Published in IEEE sensors journal (01.07.2021)
Published in IEEE sensors journal (01.07.2021)
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AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America
Westman, Eric, Simmons, Andrew, Muehlboeck, J-Sebastian, Mecocci, Patrizia, Vellas, Bruno, Tsolaki, Magda, Kłoszewska, Iwona, Soininen, Hilkka, Weiner, Michael W., Lovestone, Simon, Spenger, Christian, Wahlund, Lars-Olof
Published in NeuroImage (Orlando, Fla.) (01.10.2011)
Published in NeuroImage (Orlando, Fla.) (01.10.2011)
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Determination of the common electrodes for users and increasing the classification accuracy of motor imagery EEG
Özkahraman, Ali, Ölmez, Tamer, Dokur, Zümray
Published in Neural computing & applications (01.02.2025)
Published in Neural computing & applications (01.02.2025)
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